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Background: Artificial intelligence (AI) has influenced all aspects of human life and neurology is no exception to this growing trend. The aim of this paper is to guide medical practitioners on the relevant aspects of artificial intelligence, i.e., machine learning, and deep learning, to review the development of technological advancement equipped with AI, and to elucidate how machine learning can revolutionize the management of neurological diseases. This review focuses on unsupervised aspects of machine learning, and how these aspects could be applied to precision neurology to improve patient outcomes. We have mentioned various forms of available AI, prior research, outcomes, benefits and limitations of AI, effective accessibility and future of AI, keeping the current burden of neurological disorders in mind. Discussion: The smart device system to monitor tremors and to recognize its phenotypes for better outcomes of deep brain stimulation, applications evaluating fine motor functions, AI integrated electroencephalogram learning to diagnose epilepsy and psychological non-epileptic seizure, predict outcome of seizure surgeries, recognize patterns of autonomic instability to prevent sudden unexpected death in epilepsy (SUDEP), identify the pattern of complex algorithm in neuroimaging classifying cognitive impairment, differentiating and classifying concussion phenotypes, smartwatches monitoring atrial fibrillation to prevent strokes, and prediction of prognosis in dementia are unique examples of experimental utilizations of AI in the field of neurology. Though there are obvious limitations of AI, the general consensus among several nationwide studies is that this new technology has the ability to improve the prognosis of neurological disorders and as a result should become a staple in the medical community. Conclusion: AI not only helps to analyze medical data in disease prevention, diagnosis, patient monitoring, and development of new protocols, but can also assist clinicians in dealing with voluminous data in a more accurate and efficient manner. [ABSTRACT FROM AUTHOR]

Introduction: Cranial irradiation is used both prophylactically and for the treatment of brain tumors. There are various complications associated with it. The rare complication of stroke-like migraine attacks after radiation therapy (SMART) syndrome usually occurs several years after radiation therapy but is a reversible phenomenon. It usually presents with headaches, seizures, or other focal neurological deficits concerning stroke or recurrence of the underlying disease. Objectives: We aim to present two cases of SMART syndrome highlighting the typical presentation, imaging findings, and differential diagnosis. We also conducted the literature review since the early recognition of this rare delayed onset complication is crucial, given its self-limited course and to avoid misinterpretations of the cases. Conclusion: Our extensive review favors MRI, CT, and prolonged EEG monitoring to rule out other differentials and showed that initiation of corticosteroid therapy and antiepileptic treatment were helpful in the resolution of symptoms and prevent recurrences. Therefore, future studies should be focused on early identification and management guidelines for SMART syndrome. [ABSTRACT FROM AUTHOR]